| 摘要 |
The invention relates to cybernetics and can be used in the form of a cell for neuron networks used for solving the assessment problems of the operation of open complex systems, for assessing the optimality of different solutions, by building the hierarchical and recurrent model of a system to be investigated, taking into account the different initial and operational states of the elements thereof and by taking into account, during the modeling of the separate elements of a system by means of neuron elements, the level of the self-sufficiency thereof and the susceptibility to external signal action. The inventive neuron element makes it possible to take into account the setting error of the parameters thereof and of the parameters of input signals and to ensure the specified accuracy of the neuron network self-learning. The neuron networks based on the inventive neuron elements make it possible to perform different variants of the assessment of the operation of open complex systems and the optimality degree of different solutions and to develop different variants of adaptive information management systems.
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